Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
BeHonest: Benchmarking Honesty in Large Language Models
As of 3 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2406.13261.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-30T10:45:44.127391Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T20:18:56.663568Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 75180596-08b1-4632-8046-36a663f80dea · inbound
Unlearners Can Lie: Evaluating and Improving Honesty in LLM Unlearning cites this paper.
Unlearners Can Lie: Evaluating and Improving Honesty in LLM Unlearning BeHonest: Benchmarking Honesty in Large Language Models
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T07:31:24.489114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 13d213e0-542c-436b-8658-ed6f6f6dc5d4 · inbound
Navigating the Sea of LLM Evaluation: Investigating Bias in Toxicity Benchmarks cites this paper.
Navigating the Sea of LLM Evaluation: Investigating Bias in Toxicity Benchmarks BeHonest: Benchmarking Honesty in Large Language Models
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T05:31:23.935337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation f48f2433-9f2c-487e-91e2-55c73e13ae0e · inbound
DECOR: Auditing LLM Deception via Information Manipulation Theory cites this paper.
DECOR: Auditing LLM Deception via Information Manipulation Theory BeHonest: Benchmarking Honesty in Large Language Models
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T06:28:05.381264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation bf0bdbc0-8745-477a-894d-c71c971ee0a0 · inbound
SPADE-Bench: Evaluating Spontaneous Strategic Deception in Agents via Plan-Action Divergence cites this paper.
SPADE-Bench: Evaluating Spontaneous Strategic Deception in Agents via Plan-Action Divergence BeHonest: Benchmarking Honesty in Large Language Models
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T23:06:20.590107Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation cfbb8b37-c1c3-4263-bdd6-9f2c03bfb24b · inbound
SPADE-Bench: Evaluating Spontaneous Strategic Deception in Agents via Plan-Action Divergence cites this paper.
SPADE-Bench: Evaluating Spontaneous Strategic Deception in Agents via Plan-Action Divergence BeHonest: Benchmarking Honesty in Large Language Models
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T10:54:36.985886Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation d33f246a-485b-4c20-9b3e-204721c35d77 · inbound
RogueAI: A Reverse Turing Test for Detecting Licensed AI Deception in Dialogue cites this paper.
RogueAI: A Reverse Turing Test for Detecting Licensed AI Deception in Dialogue BeHonest: Benchmarking Honesty in Large Language Models
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T15:18:33.688342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 05a3b2ca-af7e-45c6-bd80-db214128ad5e · inbound
Decoding Hidden Deception in Reasoning LLMs: Activation Explainers for Deception Auditing cites this paper.
Decoding Hidden Deception in Reasoning LLMs: Activation Explainers for Deception Auditing BeHonest: Benchmarking Honesty in Large Language Models
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T20:18:56.665646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.